Data állások II. kerületben (programozó, fejlesztő)

Design and implement agent‑to‑agent communication patterns and multi‑agent collaboration workflows. Integrate LLMs, RAG pipelines, and external APIs/tools into end‑to‑end agent systems. Develop, test, and iterate on orchestration logic (routing, planning, tool selection, error handling, and...

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

Creation of Python code, tests, and modification of GitHub Action CI/CD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems as part of platform engineering Delivering and scaling AI solutions embedded in cross-functional teams Deploying...

Design, prototype, and refine LLM based features over large document sets. Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text. Define evaluation frameworks, experiments, and metrics to...

Designing predictive models Conducting large-scale experiments Uncovering insights that inform decision-making Defining and developing ontologies and knowledge graphs Establishing data standards and maintaining data quality Operationalizing models and graph services at scale Delivering and scaling...

Building a world-class AI platform designed to be deployed across diverse sectors and functions Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to develop impactful AI solutions Combining software and data engineering...

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Design, train, and optimize machine learning models for real-world applications. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Collaborate with data engineers and software developers to integrate ML models into...

Manage a team of highly skilled engineers focusing on the development of accelerated data processing solutions Lead and motivate the team to successfully conduct projects meeting internal and external customer needs Collaborate with the deep learning software engineering community to contribute to...